Anthropic is trying SO hard to fix MCP...

In this monologue podcast, Theo dives deep into Anthropic's new "Advanced tool use" on the Claude developer platform, critically analyzing its approach to Model Context Protocol (MCP). He discusses the inefficiencies of MCP, where every tool definition is included in each prompt, making the process expensive, slow, and cumbersome. Theo explores Anthropic's proposed solutions, including the ToolSearchTool and ProgrammaticToolCallingTool, which aim to dynamically discover, learn, and execute tools. He also touches on the importance of code execution for tool orchestration, the limitations of JSON schemas, and potential prompt injection vulnerabilities. The podcast includes a brief sponsor mention for Greptile, an AI code review tool, and concludes with Theo's overall skepticism about the current state of AI tool usage and the increasing complexity of building AI-driven systems.